In this line, in a recent work, the use of machine learning algorithms with data from 28 immune-mediator levels obtained from the aqueous humor of patients diagnosed with different ocular diseases—including POAG—provided higher POAG prediction (area under the curve (AUC) = 0.90), especially when using the markers MCP-1, IL-6, and angiogenin [85], although IL-6 was not consistent according to Takai et al. [46]. This evidence concerns the gene CCL2 and open-angle glaucoma.